personal-model AGENTS.md

personal-model AGENTS.md is an instructions file for Codex, OpenCode from Intuition-Lab/personal-model. It costs 1,307 tokens per session, scanned A, original, Apache-2.0.

A guide for coding agents working in a local macOS service that observes screen context, builds a personal model, and provides it to connected tools. It explains the project's boundaries, commands, storage, and documentation.

In plain words
What is it for?
Use it to orient an agent before working on screen capture, OCR, timelines, personal-model data, storage, REST, or MCP. It also documents the main commands and project structure.
Why use it?
It helps agents understand which parts of the system they may change and how the pieces fit together. It also reduces confusion about setup, testing, and responsibilities the project does not cover.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/intuition-lab/personal-model/agents-md
Clone the repo
git clone --depth 1 https://github.com/Intuition-Lab/personal-model

Made for: Codex, OpenCode.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for personal-model AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/intuition-lab/personal-model/agents-md.svg)](https://agentmods.dev/instructions/intuition-lab/personal-model/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/intuition-lab/personal-model/agents-md"><img src="https://agentmods.dev/badge/instructions/intuition-lab/personal-model/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,307 This file is loaded in full into every session.
When invoked 1,307 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.01307 $0.01307
Opus 5 $0.00654 $0.00654
Sonnet 5 $0.00261 $0.00261
Haiku 4.5 $0.00131 $0.00131

Measured 4d ago against content hash 020dd35390f5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

personal-model AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

AGENTS.md · 141 lines

How it starts

The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Orientation for coding agents in persome-core. Code is authoritative; the documents explain its public contract and operational intent.

Runtime boundary

Persome Runtime is a local-first macOS daemon that observes one real person's screen context, forms durable state, builds an auditable personal model, and serves it to MCP clients. The public geometry is Point, Line, Face, Volume, and at most one Root. /model renders the current geometry locally.

This repository owns:

  • AX capture and optional, local, subprocess-isolated OCR;
  • timeline and deterministic session formation;
  • incremental session reduction and personal modeling;
  • Markdown/SQLite/evomem storage, provenance, correction, and forgetting;
  • the versioned model snapshot, local viewer, REST, and MCP.

It does not own product dashboards, notification/task lifecycles, computer-use actuation, meeting audio, or evaluation datasets and runners.

  • macOS 13+ for live capture; Python 3.12-3.13 via uv.
  • Package: src/persome/; CLI: persome = "persome.cli:app".
  • Default data root: ~/.persome.

Commands

uv sync --all-extras
bash install.sh

PERSOME_LLM_MOCK=1 uv run pytest -m "not macos and not integration"
uv run ruff check .
uv run ruff format --check .
uv run python scripts/secret_scan.py
uv run python scripts/pii_scan.py
uv run python scripts/language_scan.py

persome doctor
persome llm setup
persome llm status --check
persome start
persome status
persome stop
persome update
persome mcp
persome model build
persome model status
persome model export

Regenerate committed contracts after intentional changes:

uv run python scripts/regen_openapi.py
uv run python scripts/regen_db_schema.py
uv run pytest tests/test_openapi_drift.py tests/test_db_schema_drift.py -q

Commits require DCO sign-off: git commit -s.

Pipeline

There is one production path:

mac-ax-watcher or trusted ingest
  -> S0 debounce/dedup
  -> S1 focused element + visible text + URL
  -> capture buffer
  -> one-minute timeline blocks
  -> deterministic session cuts
  -> five-minute active reducer / event memory
  -> incremental Point/Line modeling
  -> session-end trailing-window finalizer
       -> classifier compatibility/incremental pass
       -> pattern detector
       -> evidence-gated memory_delta + deterministic apply
  -> debounced/daily/explicit structural model build
       -> cases -> Faces -> Volumes -> Root
  -> snapshot / MCP / localhost viewer

Read the full file on GitHub · 141 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 141 lines · 1,307 tokens per session scan A 020dd35390f5

Subscribe to this mod's changes

personal-model AGENTS.md is an instructions file published in the GitHub repository Intuition-Lab/personal-model (1,319 stars, last pushed 13d ago), licensed Apache-2.0. It adds 1,307 tokens to every session, about $0.0065 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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